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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 971–980 of 1773 papers

TitleStatusHype
General2Specialized LLMs Translation for E-commerce—0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training—0
Generalizing Back-Translation in Neural Machine Translation—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
Generating Diverse Translation from Model Distribution with Dropout—0
Generating Gender Augmented Data for NLP—0
Getting Gender Right in Neural Machine Translation—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
Graph-to-Sequence Neural Machine Translation—0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue—0
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